TALANTA | 卷:170 |
EDTA-functionalized magnetic nanoparticles: A suitable platform for the analysis of low abundance urinary proteins | |
Article | |
Bastos, Paulo1  Trindade, Fabio1,2  Ferreira, Rita3  Leite-Moreira, Adelino2  Falcao-Pires, Ines2  Manadas, Bruno4  Daniel-da-Silva, Ana L.5  Vitorino, Rui1,2  | |
[1] Univ Aveiro, IBiMED Inst Biomed, Dept Med Sci, Aveiro, Portugal | |
[2] Univ Porto, Dept Cirurgia & Fisiol, Unidade Invest Cardiovasc, Fac Med, Oporto, Portugal | |
[3] Univ Aveiro, Dept Chem, Mass Spectrometry Ctr, QOPNA, Aveiro, Portugal | |
[4] Univ Coimbra, CNC Ctr Neurosci & Cell Biol, Coimbra, Portugal | |
[5] Univ Aveiro, CICECO Aveiro Inst Mat, Dept Chem, Aveiro, Portugal | |
关键词: Magnetic Nanoparticles; Proteomics; Urine; Fractionation; Mass spectrometry; | |
DOI : 10.1016/j.talanta.2017.03.087 | |
来源: Elsevier | |
【 摘 要 】
Urine is a highly attractive source of biological information and disease biomarkers, whose proteome characterization is ongoing. To that end, depletion/enrichment strategies for protein analysis can be of great convenience. We have thus developed a method based on the use of EDTA-functionalized magnetic nanoparticles (NPs@EDTA), to fractionate urine samples before liquid chromatography-mass spectrometry analysis and compared the identified proteins with those obtained from ultrafiltrated/unfractionated (UF) urine samples. NPs@EDTA allowed larger urine volumes to be processed, resulting in a greater number of protein identifications (similar to 2-fold) at a lower cost when compared to UF samples. Proteins of greater abundance (such as albumin and uromodulin) were, at least partially, depleted with NPs@EDTA while those of lower abundance were enriched. Bioinformatics analysis showed that approximately 27% of NPs@EDTA-enriched proteins were annotated as displaying enzymatic activity, most of these being hydrolytic enzymes (56%), particularly proteases/peptidases (48%). Also, post-translational modifications were prominently predicted across NPs@ EDTA-enriched proteins (90%), particularly glycosylation (52%), phosphorylation (47%) and acetylation (30%). NPs@EDTA allowed the identification of 109 proteins in urine for the first time, showing high potential as a platform for urine's fractionation prior to proteomic analysis.
【 授权许可】
Free
【 预 览 】
Files | Size | Format | View |
---|---|---|---|
10_1016_j_talanta_2017_03_087.pdf | 533KB | download |